Training feed forward neural network with modified Fletcher-Reeves method
In this research, a modified Fletcher-Reeves (FR) conjugate gradient algorithm for training large scale feed forward neural network (FFNN) is presented. Under mild conditions, we establish that the proposed method satisfies the sufficient descent condition, and it is globally convergent under wolfe...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Journal of Multidisciplinary Modeling and Optimization
2018-08-01
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Series: | Journal of Multidisciplinary Modeling and Optimization |
Subjects: | |
Online Access: | http://dergipark.org.tr/jmmo/issue/38716/392124?publisher=http-w3-sdu-edu-tr-personel-00606-prof-dr-ahmet-sahiner |